This project involves analyzing 100,000 UPI transactions using Excel, SQL, Python, and Power BI. It includes identifying transaction success patterns, fraud-risk indicators, and regional trends through an interactive HTML dashboard and Power BI visualizations.
From the README
UPI Transaction Analysis An end-to-end data analytics project focused on transaction performance, fraud risk and operational insights from 100,000 UPI transactions. Live Dashboard View Interactive Dashboard UPI Transaction Analysis Capstone Project Powerbi Dashboard Executive Dashboard Fraud Dashboard Project Overview The project analyses customer, merchant, device, transaction and fraud-alert data to identify: • Transaction success and failure patterns • Fraud-risk indicators • High-risk devices and merchants • Fraud-alert resolution performance • Regional and channel-level trends Key Findings Key Business Finding • 100,000 transactions analysed • 92.14% transaction success...
Skills
- Jupyter Notebook
- HTML
- capstone-project
- data-analysis
- data-analytics
- data-visualization
- excel
- fintech
- fraud-detection
- jupyter-notebook
- mysql
- pandas
